Pixel-wise deblurring imaging system based on active vision for structural health monitoring at a speed of 100 km/h

Hayakawa, Tetsuo; Moko, Yushi; Morishita, Kenta; Ishikawa, Masatoshi

doi:10.1117/12.2309522

Cited by 14 publications

(7 citation statements)

References 9 publications

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“…A high-speed vision sensor developed by Ishikawa, can identify the cracks in tunnels even while travelling in a vehicle at 100 km/h. 117 ) A vision chip with image sensing and processing circuitry that can capture high-speed motion has been also developed. 118 ) Such vision sensors are inexpensive, indirect, and noncontact and allow researchers to capture the motions of various objects.…”

Section: Future Direction Of Vibration-based Monitoring Of Civil Strumentioning

confidence: 99%

Vibration-based monitoring for performance evaluation of flexible civil structures in Japan

Fujino

2018

Proceedings of the Japan Academy. Ser. B: Physical and Biologic

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The vibration-based monitoring of flexible civil structures and performance evaluation from this monitoring are reviewed, with an emphasis on research and practice in Japan and the author’s experiences. Some new findings and unexpected vibrations from the monitoring of real bridges and buildings are reported to emphasize the importance of monitoring. Future developments and applications of vibration-based monitoring to civil infrastructure management are also described. Many examples are taken from the author’s past 30 years’ experience of research on bridge dynamics.

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Section: Future Direction Of Vibration-based Monitoring Of Civil Strumentioning

confidence: 99%

Vibration-based monitoring for performance evaluation of flexible civil structures in Japan

Fujino

2018

Proceedings of the Japan Academy. Ser. B: Physical and Biologic

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“…2 However, this method may not be accurate enough because the detection of feature points is affected by the shape, texture, or motion of the object. 3 For example, a vehicle inspecting a tunnel on a highway uses features on the tunnel surface to detect the vehicle's own movement fast and accurately; 4,5 however, in a dirt-free tunnel, tracking based on features cannot guarantee the accuracy of speed detection during image capture. Therefore, it is necessary to use the feature points to detect the speed of the tunnel surface.…”

Section: Introductionmentioning

confidence: 99%

Active thermal marker using thermal images of heated areas with visible semiconductor laser

Hayakawa,

Hiruma,

Yushan

et al. 2024

International Conference on Optical and Photonic Engineering (icOPEN 2023)

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In situations where the object being captured or the camera itself is in motion, object tracking using conventional attached markers or detailed textures is useful to keep capture the object with high accuracy; however, tracking accuracy has been degraded in situations where texture features are scarce or where it is difficult to attach markers. Therefore, in this study, the temperature rise corresponding to the laser irradiation time to the object is detected by a thermal camera, and the points where the temperature reaches or exceeds a threshold value after the laser irradiation ends are used as markers. After the temperature drops, laser irradiation is performed again to repeatedly generate markers. Furthermore, by controlling the irradiation point with a 2-axis galvanometer mirror, a marker that can code arbitrary shapes and information can be generated on a 2-dimensional plane. In our experiments, we irradiated a red semiconductor laser onto black paper, and found that an irradiation time of 10 ms was the most efficient in terms of heat dissipation time, enabling the simultaneous generation of up to 33 markers. As a result, it was found that it is possible to draw distinguishable characters and graphics such as lines and circles by continuous drawing. Future plans include application to non-paper based on additional physical property investigations and actual tracking applications.

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“…Whereas, a tunnel inspection device [7] was proposed that can be mounted on a road patrol vehicle to enable tunnel inspection during daily patrols. This device can capture images while compensating for motion blur and discover cracks of width 0.2 mm in tunnel ceilings at a distance of 2-5 m, while traveling at 100 km/h.…”

Section: Introductionmentioning

confidence: 99%

High-Speed Localization Estimation Method Using Lighting Recognition in Tunnels

Moko,

Hiruma,

Hayakawa

et al. 2024

Advances in Transdisciplinary Engineering

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This study proposes a vision-based high-speed localization estimation method for location based visual inspection of specific cracks in tunnels on Japanese expressways where global navigation satellite systems are not applicable. The method relies on recognizing lighting facilities installed in tunnels by using random sample consensus (RANSAC), enabling stable and accurate localization estimation in the horizontal direction. To correspond with traveling at high speed, single instruction/multiple data (SIMD) conversion realized 8 times faster than conventional image processing. The evaluation experimental results on expressway demonstrate that the proposed method achieves a maximum error of 31 mm in estimating lighting facilities position with an average error of 16 mm. The theoretical value derived from tunnel completion drawings has a maximum difference of 177 mm from the total value by this method, indicating that the results of accurate on-site measurements should be prioritized over completion drawings. In conclusion, the proposed method has considerable potential for practical application in tunnel inspection and maintenance.

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Pixel-wise deblurring imaging system based on active vision for structural health monitoring at a speed of 100 km/h

Cited by 14 publications

References 9 publications

Vibration-based monitoring for performance evaluation of flexible civil structures in Japan

Vibration-based monitoring for performance evaluation of flexible civil structures in Japan

Active thermal marker using thermal images of heated areas with visible semiconductor laser

High-Speed Localization Estimation Method Using Lighting Recognition in Tunnels

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